Segmentacija temeljena na vizijskom sustavu i konvolucijskoj neuronskoj mreži

undergraduate thesis

• Title (english): Segmentation based on vision system and convolutional neural network
• Author: Matea Brzac
• Mentor: Tomislav Stipančić (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2022-09-28, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Artificial Intelligence

Abstract

Računalima je dostižan računalni vid uz pomoć umjetne inteligencije kakav je svojstven ljudima, da prepoznaju i procesiraju razne objekte sa slika i videa u dvodimenzionalnom i trodimenzionalnom sustavu. Razvojem novih algoritama i većom dostupnošću računalne snage, te pristupa internetu, dnevno se generiraju velike količine podataka. Iz tih razloga dolazi do iznimnog napretka računalnog vida što omogućuje rješavanje sve više novih i raznolikih zadataka koji uključuju prepoznavanje. Ovim radom su analizirani model i segmentacijska svojstva umjetne neuronske mreže za segmentaciju osoba na slikama. Model je razvijen u Python programskom jeziku. Provedena evaluacija je uključivala ljudske subjekte.

Abstract (english)

Computers achieve computer vision with the help of artificial intelligence, with characteristics of human vision, to recognize and process various objects from images and videos in two- and three-dimensions. With the development of new algorithms and the availability of greater computing power, as well as access to the Internet, large amounts of data are generated daily. For these reasons, there is an extraordinary advance in computer vision that allows solving new and diverse problems that involve recognition. This paper analyzes the model and segmentation properties of an artificial neural network for the segmentation of people in images. The model was developed in the Python programming language. The conducted evaluation involves human subjects.

• Keywords: umjetna inteligencija; Python; umjetne neuronske mreže; konvolucijske neuronske mreže; strojno učenje; duboko učenje; računalni vid; segmentacija
• Keywords (english): artificial intelligence; Python; artificial neural networks; convolutional neural networks; machine learning; deep learning; computer vision; segmentation
• Language: croatian
• URN:NBN: urn:nbn:hr:235:361692
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2022-09-22 10:49:08